Google Pixel 9
Geekbench AI Score
377
Single Precision Score
4566
Half Precision Score
8584
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | icpfreak38464 |
| Upload Date | March 22 2025 04:05 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 9 |
| Model ID | Google Pixel 9 |
| Motherboard | tokay |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
240
44.6 IPS |
|
|
Image Classification (HP)
|
100% |
5037
936.7 IPS |
|
|
Image Classification (Q)
|
99% |
6344
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
8642
140.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19715
320.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
378
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
31639
36.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
63674
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
4831
383.2 IPS |
|
|
Object Detection (Q)
|
87% |
6588
528.5 IPS |
|
|
Face Detection (SP)
|
100% |
562
6.68 IPS |
|
|
Face Detection (HP)
|
100% |
16643
197.8 IPS |
|
|
Face Detection (Q)
|
97% |
39030
465.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
500
3.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
31325
241.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
37295
343.3 IPS |
|
|
Style Transfer (SP)
|
100% |
715
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
718
0.92 IPS |
|
|
Style Transfer (Q)
|
73% |
3303
4.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.83 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8938
330.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15181
562.5 IPS |
|
|
Text Classification (SP)
|
100% |
349
466.0 IPS |
|
|
Text Classification (HP)
|
100% |
349
466.3 IPS |
|
|
Text Classification (Q)
|
92% |
1790
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
515
8.88 IPS |
|
|
Machine Translation (HP)
|
100% |
508
8.75 IPS |
|
|
Machine Translation (Q)
|
57% |
317
7.74 IPS |
